An autonomous and guided crowd in panic situations

This paper describes a model for simulating crowds in real time. We deal with the hierarchy of the crowd, groups and individuals. The groups are the most complex structure that can be controlled in different degrees of autonomy. The autonomy means that the virtual agents are independent of the user intervention. Depending on the complexity of the simulation, some simple behaviors can be sufficient to simulate crowds. Otherwise, more complicated behaviors rules can be necessary in order to improve the realism of the animation. We present two different ways for controlling crowd behaviors: - by defining behavior rules, to give intelligence to the agent. By providing an external control to guide crowd behaviors, this control is done by the user or by an autonomous agent called the guide. The main contribution of our approach is to combine these two ways of behaviors (autonomous, guide) in order to simulate the evacuation of a crowd in emergency situations. Many strategies of evacuation have been implemented and we will demonstrate that in most situations, the guided method decrease the average escape time and increase the chance of survival in emergency situations.Facultad de Informátic

Penempatan Posisi Kamera Secara Otomatis Untuk Sutradara Virtual Dalam Machinima Berbasis Logika Fuzzy

Machinima adalah sebuah teknologi pencitraan komputer yang biasanya digunakan untuk membuat permainan komputer dan animasi. Machinima akan meletakan semua property dan pemain film ke dalam lingkungan virtual, dalam hal ini penempatan posisi kameranya. Karena sinematografi melengkapi machinima, memungkinkan untuk mensimulasikan gaya seorang sutradara dalam penempatan posisi kamera di lingkungan virtual. Dalam aplikasi permainan komputer, gaya sutradara adalah satu satu faktor dalam sinematik yang sangat berpengaruh, nuansa bermain game akan berbeda jika diterapkan gaya yang berbeda walau pada adegan atau aksi yang sama. Penelitian ini mengusulkan sebuah sistem yang diberi nama Automatically Cinematography Engine (ACE), sebuah engine untuk menempatkan posisi kamera virtual dan melakukan profile terhadap gaya sutradara dengan pendekatan berbasis logika fuzzy. Sistem yang pertama adalah sistem yang mampu menempatkan posisi kamera virtual sesuai dengan gaya sutradara menggunakan logika fuzzy. Yang kedua adalah sistem yang mampu secara otomatis melakukan profile gaya sutradara dengan menggunakan logika fuzzy. Digunakan 19 variabel output dan 15 variabel hasil perhitungan lainnya dari hasil ekstraksi animasi dari dua gaya sutradara yang berbeda. Hasil perhitungan menghasilkan diagram area plot dan histogram dan dengan menganalisa histogram, gaya sutradara yang berbeda dapat diklasifikasikan. ================================================================================================ Machinima is a computer imaging technology typically used in games and animation. It prints all movie cast properties into a virtual environment by means of a camera positioning. Since cinematography is complementary to Machinima, it is possible to simulate a director's style via various camera placements in this environment. In a gaming application, the director's style is one of the most impressive cinematic factors, where a whole different gaming experience can be obtained using different styles applied to the same scene. This research describes Automatically Cinematography Engine (ACE) an engine for camera positioning and profiling a director’s style using fuzzy logic approach. The first one is a system capable to positioning a virtual camera in virtual environment automatically according to a director’s style using fuzzy logic. The second is a system capable of automatically profile a director's style using fuzzy logic. This research employed 19 output variables and 15 other calculated variables from the animation extraction data to profile two different directors' styles from five scenes. Area plots and histograms were generated, and, by analyzing the histograms, different director's styles could be subsequently classified

Intelligent Virtual Environment and Camera Control in Behavioural Simulation

This paper presents a model describing Intelligent Information present in the Virtual Environment, as well as the Camera Control. We are interested in modeling Intelligent Virtual Environments, integrated with our Intelligent Camera control in order to provide information to be used in behavioural simulations. Our main goal is to be able to populate Virtual Environments with virtual agents endowed with different Levels of Autonomomy: from guided to autonomous